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由于毫米波段目标的反射特性和杂波特性与在较低频段极不相同,因而不应考虑采用与用于较低频率上相同的信号处理方法。如此高的频率,能使分辨力得以改善。为了充分利用这一有利条件,在设计实用的毫米波雷达导引头时应当研究目标和杂波的特征以及它们的统计特性。我们将提出一种统计的信号处理方法,这种方法能应用于弹载毫米波导引头的恒虚警率处理器中。这种方案包括有三个不同功能的单元,(1)自适应滤波器,用来消除噪声以及使信号和杂波去相关。(2)模式分类器,用于区分杂波统计分布的类型。(3)恒虚警率处理器。本方案使得弹载毫米波雷达能够在一个扫描周期内处理更多的信息,同时,可通过设定一个与所遇到的杂波类型相适应的门限来维持恒虚警率。
Since the reflection characteristics and clutter characteristics of a millimeter-wave band target are very different from those in a lower frequency band, the same signal processing methods used for lower frequencies should not be considered. With such a high frequency, the resolution can be improved. To take full advantage of this advantage, the characteristics of target and clutter and their statistical properties should be studied when designing a practical millimeter-wave radar seeker. We will present a statistical signal processing method that can be applied to a constant false alarm rate processor for a missile-mounted millimeter wave seeker. This solution consists of three distinct functional units, (1) an adaptive filter that removes noise and decorrelates the signal and the clutter. (2) pattern classifier, used to distinguish the type of clutter statistical distribution. (3) constant false alarm rate processor. The solution enables the millimeter-wave radar to process more information in one scan cycle while maintaining a constant false alarm rate by setting a threshold that suits the type of clutter encountered.